E-waste demands urgent attention to devise effective and sustainable waste management
solutions. In response to this challenge, the integration of deep learning classifiers emerges …

Electronic waste, also known as e‐waste, refers to electrical or electronic devices that are
discarded from households and workplaces. These used e‐wastes are meant to be …

Waste collection, classification, and planning have become crucial as industrialization and
smart city advancement activities have increased. A recycling process of waste relies on the …

Electronic waste (E-waste) is generated at a quick pace due to technological expansion and
thereby reducing the obsolescence age of electrical and electronic equipment (EEE). This …

In the realm of innovation, as individuals begin adjusting to new development, advancement
begins clearing its way into individuals' lives. Each adjustment in innovation gets better than …

The total amount of waste is increasing all around the world day-by-day especially in urban
areas. The increasing amount of unprocessed waste is very dangerous to mankind as it …

Waste management leads to the demolition of waste conducted by recycling and landfilling.
Deep learning and the Internet of things (IoT) confer an agile solution in classification and …

The main objective of this paper is to design and implement a novel automatic E-Waste
Management System using machine learning algorithms. A Waste Management System …

For the development of smart cities, electronic waste generation is one of the significant
issues to tackle. According to the United Nations, India is the third-largest e-waste generator …

This study investigates an image recognition system for the identification and classification
of waste electrical and electronic equipment from photos. Its main purpose is to facilitate …